MARS 2.0
MARS (Mentorship for Alignment Research Students) connects aspiring researchers - from students to professionals - with experienced mentors to conduct AI safety research. Over 2-3 months, participants work on focused projects in either technical or policy domains.
Interested in being a Mentor? You can find information on this page and apply to become a mentor here by November 24th.
Program Details
MARS (Mentorship for Alignment Research Students) connects participants with experienced mentors to conduct AI safety research from January 13 to April 15th, 2025. Over this three-month period, participants work on focused projects in either technical or policy domains. (Exact dates may be subject to minor adjustments.)
Why apply?
Work directly with experienced AI safety researchers on research projects
Join an intensive week in Cambridge (UK) with workshops, speakers, and accommodation provided
Receive regular mentorship and project support throughout the program
Opportunity to publish your work (previous participants have published at EMNLP and on arXiv)
Connect with a community of researchers interested in AI safety
Format & Time Commitment
MARS begins with an intensive week in Cambridge (January 13-19, 2025), where participants come together to kick off their projects. We provide accommodation, meals, and travel support (£100 for participants, £400 for mentors) during this period.
Following the in-person week, research continues remotely until April 2025. Teams meet weekly with their mentors and research managers, devoting approximately 8 hours per week to their projects on a volunteer basis. For teams based in Cambridge, Oxford, or London, we also organize optional in-person co-working sessions.
Throughout the program, CAISH provides hands-on support to help teams develop their research, culminating in final project presentations in April 2025.
Application Process
Stage I (Due November 24th) The process begins with a general application. Selected candidates may be asked to complete a coding test or written assignment as part of this initial evaluation.
In Stage II, promising candidates are evaluated for specific research teams. We review applications on a rolling basis as both mentor and participant applications come in. During this stage, mentors may request additional materials to assess fit, such as targeted questions, interviews, or take-home assignments. We may also conduct brief interviews or work tests before advancing candidates to mentor-specific evaluations."
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Time Commitment
Participants should expect to each spend 8-15+ hours/week on their project, depending on the project chosen.
Weekly Check-Ins
Throughout the duration of the program, you are expected to check-in:
With your teammates once a week. It'll be up to your team to coordinate meeting times or create coworking systems.
With your supervisor once a week.
The format of check-ins with your supervisor will be at their discretion.
We will also have program-wide events and check-ins, including socials, co-working sessions, andguest speakers. More details on these events will be announced to accepted participants.
MARS Research Symposium
This event will take place during the start of Easter break, where each reseach group presents their research. Precise details to come
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We welcome applications from students and professionals, particularly those with backgrounds in:
Computer Science, Mathematics, or related technical fields
Cybersecurity or Hardware Engineering
Policy, Philosophy, or Social Sciences (for governance track)
Other relevant fields with strong analytical skills
For Technical Track:
Strong foundation in programming
Background in machine learning
Additional prerequisites vary by project
For Governance Track:
Strong analytical and writing skills
Interest in AI policy
Specific requirements vary by project
Note: We encourage applications even if you don't meet all prerequisites. The general application will be followed by project-specific evaluations. We value potential and motivation over previous research experience. Both recent graduates and promising undergraduates are welcome to apply.
While the program is primarily designed for UK-based participants (especially around Cambridge, Oxford, and London), we welcome international applicants who can:
Attend the in-person week in Cambridge (January 13-19)
Commit to regular meetings in UK/European time zones
Dedicate ~8 hours per week to the project
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Virtual mentorship is possible, but we may give preference to those who can come to the in-person kick-off week in Cambridge.
Mentorship time
Mentors are free to choose when and how they meet with mentees. We expect mentors to commit ~10 hours to the project in the kick-off week, and weekly or biweekly check-ins with teams afterwards.
Project
Mentees will work part-time on this project. They will vary in background and research experience. The ideal project should allow mentees to reach meaningful milestones in 2-3 months of part-time work.
Email harrison@cambridgeaisafety.org or gabor@cambridgeaisafety.org with any questions.